Medical students today have a lot on their minds. Learning to save lives. Landing a residency. Keeping up with the latest trends in scrubs fashion.
What hasn’t been on their minds? Doing a knee replacement in zero gravity.
But that’s changing. As companies like SpaceX make space travel more accessible, schools are reimagining how to prepare doctors for a future among the stars. That includes classes in the Utah desert that simulate a Mars colony. And you thought your study abroad was cool...
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Is an alien popping out of someone’s chest on the syllabus? Not yet. But the fact that doctors are training to work in space highlights how quickly reality is colliding with science fiction. Soon, knowledge of cutting-edge concepts—from AI, to advanced coding, to data modeling—could be table stakes for lots of jobs.
And that’s a good thing. Sure, adding “data analysis” below “typing” on your resume might sound like a big leap. But spending a little time every day, you can learn almost anything. Even space surgery. |
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🌈 Color theory. Explore a famously complex math theorem with simple puzzles. |
🪿 Dropping knowledge. A curious homeowner uses science to get to the bottom of a sticky avian mystery. |
🌤️ Throwing shade. See how sunlight changes over the course of a day with this interactive shade map. |
🐅 Fuzzy math. How did the tiger get its stripes? Turns out math has the answer. |
🤖 Bye, robot. AI’s hunger for training data threatens to break a decades-old internet agreement. |
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As manager of the Olive Orchard, Peter is duty-bound to keep the fish pond on the patio looking great. Each day, there’s a 1% chance that 1 gram of algae drops into the water and starts to grow. Once in the pond, the amount of algae doubles every 4 days. Each cleaning costs $200 to measure the amount of algae in the water, plus $1 per kilogram of algae removed.
If Peter wants to minimize the average daily cost of keeping the pond clean, how often should he clean it?
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We’ll randomly choose one correct respondent for a shout-out in next month’s email. |
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Congratulations to Jelmer Hanssens, who nailed both halves using a discrete schedule.
Last month we asked you to wrangle the internal training at a high-growth startup by finding the manager-to-trainee ratio. The key was to realize that the exponential growth forces different cohorts of trainees to overlap, so that managers start training each cohort several doubling periods ahead of when they would need to be managers.
Check out the full solution here. |
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“The known is finite, the unknown infinite.” |
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